Avi Deb Raha

Orcid: 0000-0003-0240-1214

According to our database1, Avi Deb Raha authored at least 52 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Anchor-Aided Multi-User Semantic Communication with Adaptive Decoders.
CoRR, April, 2026

Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G.
CoRR, March, 2026

Performance Analysis of Shallow Convolutional Neural Network-Based Hybrid Model for Image Classification.
SN Comput. Sci., January, 2026

Security Risks in Vision-Based Beam Prediction: From Spatial Proxy Attacks to Feature Refinement.
IEEE Trans. Wirel. Commun., 2026

Age of Sensing Empowered Holographic ISAC Framework for nextG Wireless Networks: A VAE and DRL Approach.
IEEE Trans. Netw. Serv. Manag., 2026

An Age of Service and Transformer-Driven Transfer Learning Framework for Holographic MIMO-Enabled 6G Networks.
IEEE Trans. Netw. Sci. Eng., 2026

Robust Federated Learning With Heterogeneous Clients via Classifier Calibration and Alignment.
IEEE Internet Things J., 2026

A Contemporary Survey on Semantic Communications: Theory of Mind, Generative AI, and Deep Joint Source-Channel Coding.
IEEE Commun. Surv. Tutorials, 2026

QSS: Quantum Spectrum Sensing for CRN-NOMA using Data Re-Uploading VQC.
Proceedings of the 40th International Conference on Information Networking, 2026

Intelligent Traffic Steering in O RAN: A Deep Proactive Throughput and Resource Co-Optimization.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

FSANL: Symmetric Active Negative Loss for Robust Federated Learning Under Heterogeneous Label Noise.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

2025
Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation.
CoRR, December, 2025

Advancing Ultra-Reliable 6G: Transformer and Semantic Localization Empowered Robust Beamforming in Millimeter-Wave Communications.
IEEE Trans. Veh. Technol., October, 2025

Boosting Federated Domain Generalization: Understanding the Role of Advanced Pretrained Architectures.
IEEE Internet Things J., September, 2025

Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence.
CoRR, May, 2025

FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining.
CoRR, April, 2025

AI-Driven Framework for Multi-Service Multi-Modal Devices in NextG ORAN Systems.
CoRR, April, 2025

A Contemporary Survey on Semantic Communications:Theory of Mind, Generative AI, and Deep Joint Source-Channel Coding.
CoRR, February, 2025

Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation.
Expert Syst. Appl., 2025

Fortifying Lifelong Security for O-RAN Ecosystem: An Incremental Learning Framework for NextG Seamless Networking.
Proceedings of the International Conference on Information Networking, 2025

DD-JSCC: Dynamic Deep Joint Source-Channel Coding for Semantic Communications.
Proceedings of the IEEE International Conference on Communications, 2025

Continual Adaptation and Dynamic Number of Devices Management for Resource Provisioning in NextG O-RAN.
Proceedings of the IEEE International Conference on Communications, 2025

A Federated Learning Framework for Optimizing Edge Computing with Semantic Offloading.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

Towards Lifelong Vision-Based Beamforming: A Continual Learning-Driven Framework for 6G.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Resource-Aware Monkeypox Diagnosis: Leveraging High-Capacity and Lightweight Models with Knowledge Distillation.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024
Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks.
IEEE Internet Things J., October, 2024

Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach.
IEEE Trans. Netw. Serv. Manag., February, 2024

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence.
IEEE Internet Things J., 2024

Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures.
CoRR, 2024

Advancing Ultra-Reliable 6G: Transformer and Semantic Localization Empowered Robust Beamforming in Millimeter-Wave Communications.
CoRR, 2024

CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization.
CoRR, 2024

CCC: Color Classified Colorization.
CoRR, 2024

Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach.
Comput. Mater. Continua, 2024

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".
IEEE Access, 2024

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access, 2024

Towards Ultra-Reliable 6G: Semantics Empowered Robust Beamforming for Millimeter-Wave Networks.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Open RAN Embracing Continual Learning: Towards NextG Adaptive Traffic Analysis.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks.
Proceedings of the IEEE International Conference on Communications, 2024

2023
An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms.
Hum. Centric Intell. Syst., September, 2023

Generative AI-driven Semantic Communication Framework for NextG Wireless Network.
CoRR, 2023

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence.
CoRR, 2023

CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity.
Proceedings of the NOMS 2023, 2023

Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO.
Proceedings of the NOMS 2023, 2023

An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network.
Proceedings of the International Conference on Information Networking, 2023

A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence.
Proceedings of the International Conference on Information Networking, 2023

RNN-based Text Summarization for Communication Cost Reduction: Toward a Semantic Communication.
Proceedings of the International Conference on Information Networking, 2023

An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface.
Proceedings of the International Conference on Information Networking, 2023

EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Knowledge Distillation in Federated Learning: Where and How to Distill?
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023


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